Database Systems II

The course is not on the list Without time-table
Code Completion Credits Range Language
B4M36DS2 Z,ZK 6 2P+2C Czech

It is not possible to register for the course B4M36DS2 if the student is concurrently registered for or has already completed the course BE4M36DS2 (mutually exclusive courses).

It is not possible to register for the course B4M36DS2 if the student is concurrently registered for or has previously completed the course BE4M36DS2 (mutually exclusive courses).

The requirement for course B4M36DS2 can be fulfilled by substitution with the course BE4M36DS2.

Garant předmětu:
Department of Computer Science

The aim is to introduce new trends in database systems to students. We will focus primarily on the current issues of Big Data and the associated problems of distributed storage and processing of data. We will introduce a

so-called basic types of NoSQL databases and also the related issue of cloud computing, data storage and distributed computations over large data files.

Syllabus of lectures:

1. Introduction to Big Data and NoSQL databases

2. MapReduce

3. Basic principles of Big Data Management (CAP theorem, distribution,

scaling, replication)

4. Comparison and classification of NoSQL databases

5. The database type of key - value

6. Column database

7. Document Database

8. Graph database - basic principles

9. Graph databases - advanced aspects of indexing, querying

10. Advanced Principles of Big Data management (transaction performance,

polyglot persistence)

11. NewSQL database

11. Cloud computing

13. Data warehouses and Big Data

14. Other problems associated with Big Data - data analysis, data

generators, benchmarking.

Syllabus of tutorials:
Study Objective:
Study materials:


2.Pramod J. Sadalage - Martin Fowler: NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence

3.Eric Redmond - Jim R. Wilson: Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement

4.Sherif Sakr - Eric Pardede: Graph Data Management: Techniques and Applications

5.Shashank Tiwari: Professional NoSQL

6.Jeffrey Dean and Sanjay Ghemawat: MapReduce: Simplified Data Processing on Large Clusters, Google, Inc.

7.Google Code: Introduction to Parallel Programming and MapReduce

8.Hadoop: The Definitive Guide, by Tom White, 2nd edition, Oreilly?s, 2010

Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-03-04
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